Senior AI/ML Developer
Experience: 8–10 Years (Relevant AI/ML Experience) Employment Type: Full-Time
Job Summary
We are seeking an experienced Senior AI/ML Developer to design, develop, and deploy enterprise-grade Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Machine Learning, Generative AI, Large Language Models (LLMs), and cloud-native technologies. You will work closely with cross-functional teams to build scalable AI applications, automate intelligent workflows, and deliver production-ready AI solutions across the complete software development lifecycle.
Key ResponsibilitiesAI/ML Solution Development
- Design, develop, and deploy scalable AI/ML models and applications for enterprise use cases.
- Build production-ready machine learning pipelines and AI-powered software solutions.
- Develop innovative solutions using Generative AI, Large Language Models (LLMs), and advanced machine learning techniques.
- Optimize model performance, scalability, and reliability for real-world applications.
Generative AI & Large Language Models
- Develop applications using OpenAI, Claude, Gemini, LangChain, AI Agents, RAG (Retrieval-Augmented Generation), and Vector Databases.
- Implement prompt engineering, model fine-tuning, and intelligent automation solutions.
- Build AI-powered conversational systems, recommendation engines, and content generation workflows.
Machine Learning & Data Science
- Apply machine learning techniques including deep learning, NLP, NLU, computer vision, semantic understanding, intent classification, and speech recognition.
- Design and evaluate ML models using statistical analysis, experimentation, and optimization techniques.
- Develop data pipelines and support large-scale data processing for AI applications.
Cloud & MLOps
- Deploy AI/ML solutions on AWS, Azure, or Google Cloud Platform (GCP).
- Build automated CI/CD pipelines using Git, Jenkins, Docker, and Kubernetes.
- Implement MLOps best practices for model deployment, monitoring, and lifecycle management.
- Collaborate with engineering teams to ensure secure, scalable, and reliable AI deployments.
Collaboration & Innovation
- Work closely with product, engineering, and business teams to identify AI opportunities.
- Support Agile development practices and continuous product delivery.
- Research emerging AI technologies and recommend innovative solutions.
- Promote AI/ML best practices, governance, and responsible AI development.
Required Skills
- 8–10 years of relevant experience in AI/ML Engineering.
- Strong programming skills in Python and AI/ML application development.
- Hands-on experience with OpenAI, Claude, Gemini, LangChain, AI Agents, RAG, Vector Databases, Prompt Engineering, and LLMs.
- Experience with TensorFlow, PyTorch, Keras, Scikit-learn, and MLflow.
- Strong understanding of Deep Learning, NLP, NLU, Computer Vision, Reinforcement Learning, and Machine Learning algorithms.
- Experience with AWS, Azure, or Google Cloud Platform (GCP).
- Hands-on knowledge of Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of software engineering principles, Agile methodologies, and DevSecOps practices.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- Experience developing enterprise-scale AI/ML products and production-ready AI solutions.
- Experience working with distributed, cross-functional, and global teams.
- Knowledge of AI governance, ethics, and best practices.
- Experience in marketing technology, content intelligence, or recommendation systems is an added advantage.
If you're passionate about building cutting-edge AI solutions and driving innovation through Machine Learning and Generative AI, we'd love to hear from you.
Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)
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